Bid evaluation and review, as a crucial part of procurement management, directly affects the quality of corporate procurement, cost control, and risk management. However, in a single project, there are often dozens or even hundreds of bidders, with each bid document ranging from dozens to thousands of pages. Manual review is inevitably prone to:

- A lengthy review process, which is difficult to control for efficiency and quality, with the possibility of oversights;

- The review process heavily relies on the subjective judgments of experts, with inconsistent standards and a lack of a systematic approach, leading to "favoritism bids" and "relationship bids," which affect fairness and transparency;

- The verification of objective items is complex and lengthy (such as bidder qualifications, credibility, awards, technical standards, etc.), requiring a significant investment of human, material, and time resources from experts, without guaranteeing the accuracy of the review;

- ...

To address these issues, Beijing Zhulong, based on the large procurement B-PaaS technology platform, has created an enterprise procurement supply chain platform (hereinafter referred to as the "procurement platform" or "platform") that optimizes and expands AI-assisted bid evaluation functions. With "structured tender documents, automated review processes, and intelligent clearing checks," it achieves automated review and detection of evaluation documents, allowing data to assist expert decision-making and ensuring the scientific and rigorous nature of bid evaluation results.

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Multidimensional intelligent analysis aids expert decision-making

Faced with dozens or even thousands of response items in bid documents, the AI-assisted bid evaluation system utilizes intelligent technologies such as NLP, OCR, and large-scale speech models to provide "intelligent detection" services for the review process. This includes intelligent tender parsing, automatic extraction of review rules, abnormal alerts for bid rigging, intelligent clearing checks, and bid responsiveness checks, among other multi-plan horizontal comparisons. It outputs an intelligent review report that covers assessment results, supporting conclusions, scoring overviews, and ranking sequences, providing a one-stop, comprehensive, and precise data insight for the expert team, aiding in more efficient and accurate decision-making.

Objective items are scored in seconds, enhancing review efficiency

The review of the commercial part of bid documents, especially involving objective scoring items such as business licenses, bid bond payment vouchers, corporate qualifications, financial status, past performance, and personnel qualification certificates, is complex but has a significant impact on project execution. The intelligent assisted bid evaluation system, through deep integration with authoritative data sources, has achieved real-time verification of key document information. The system can complete automatic scoring in seconds, greatly reducing the manual review cycle, not only greatly enhancing review efficiency but also ensuring the objectivity and accuracy of the scoring process.Document Similarity Comparison, Accurately Identifying Redundancy

Facing dozens or even hundreds of bidders, experts often need to open multiple bid documents simultaneously, repeatedly compare and review them to identify identical or similar tenders, with workload increasing exponentially. Intelligent AI review applies natural language processing and image recognition technology to comprehensively compare the textual content, chart design, layout format, and other aspects of bid documents. Comparisons are completed within minutes, and duplicate reports can be exported with one click, allowing reviewers to quickly locate abnormal content in tenders, ensuring both review efficiency and accuracy.

Expert Dynamic Capture, Ensuring Fair and Transparent Review

The system can also dynamically capture the entire process of expert review, such as monitoring review duration and expert operations. If the review results deviate significantly from the norm, the system immediately triggers a prompt mechanism, requiring experts to confirm again, ensuring the fairness and transparency of expert reviews. All monitoring records are also recorded and stored as evidence of whether expert review behavior is compliant, allowing for review at any time.

AI Intelligent Bidding Evaluation System, with multi-dimensional intelligent analysis, objective item scoring in seconds, complex relationship network transparency, and intelligent document similarity comparison as its innovative core features, has created an efficient, transparent, and fair bidding evaluation ecosystem. This allows the bidding review to transition from the era of manual review to an intelligent era where expert decision-making is the mainstay, supplemented by AI data analysis.